Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …

Cancer is one of the leading causes of death and morbidity with a complex pathophysiology.
Traditional cancer therapies include chemotherapy, radiation therapy, targeted therapy, and …

Metabolic disorders are increasingly prevalent worldwide, leading to high rates of morbidity
and mortality. The variety of metabolic illnesses can be addressed through personalized …

The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

Ingenious nanomedical researches have ameliorated outcomes in cancer theranostics.
Though limitations like non specific distribution generating low signal to noise ratio in …

With the recent diffusion of access to publicly available large language models (LLMs),
common interest in generative artificial-intelligence-based applications for medical purposes …

Clustered regularly interspaced short palindromic repeat (CRISPR)-based genome editing
(GED) technologies have unlocked exciting possibilities for understanding genes and …

With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary
of human and ecosystem health has been deeply challenged. The interdependence of …